• To whom it may concern:

    Recently it has come to my attention that Justin McCarthy, an East Longmeadow resident, has filed a petition the the Town Council that has 160 signatories (or just over 1.25% of registered EL voters) “demanding an end to the defunct Health Board’s mask mandate”.

    Justin lays out his arguments in a blog post from October 6, 2021, “Why the East Longmeadow Town Council Can and Should End the Mask Mandate.

    I am not an expert in the law, therefore I will not comment on the strengths or flaws in Mr. McCarthy’s legal arguments, however, it is my understanding from talking to several other lawyers that his legal arguments are without merit.

    However, I do have expertise in statistical analysis.  My training includes an M.S. in Applied Statistics from WPI in 2005, a Ph.D. in Statistics from the University of Connecticut  in 2011, a postdoctoral research fellow in the School of Public Health at the University of Massachusetts from 2011-2014.  Since 2014 I have been at Loyola University Chicago in the Department of Mathematics and Statistics where I am an Associate Professor of Statistics with tenure and the Director of the Data Science Program.  Given my particular background, I feel I am qualified to comment on Mr. McCarthy’s contention that the statement from the Health Board that was used to justify the mask order is not supported by any sort of data or evidence.  Specifically, Mr. McCarthy states in his blog post from October 6, 2021:

    The Health Board justified its mask order by stating “we know that masks slow or prevent transmission of all COVID-19 variants so far.”  (See the third paragraph of the order.) The statement is not supported by any sort of data or evidence.

    To put it bluntly, this statement is patently incorrect, and I will provide comprehensive support for masking policies later.  Before that, however, I want address he shortcomings in Mr. McCarthy’s framing of masking efficacy in relation to COVID-19.  Mr. McCarthy cites a single paper, Guerra and Guerra (2021) in International Research Journal of Public Health (DOI: 10.28933/irjph-2021-08-1005). (Note: Mr. McCarthy states in his October 6 blog post that Dr. Damien Guerra is a “bio-statistician [sic]”.  This is another incorrect statement.  Dr. Guerra is a trained biologist focusing on cell and molecular biology who appears to have taught biostatistics courses in the past.  It is unclear what his formal training in statistics is, if any.)  In that article, the authors conclude:

    We did not observe association between mask mandates or use and reduced COVID-19 spread in US states. COVID-19 mitigation requires further research and use of existing efficacious strategies, most notably vaccination.

    After reading the full article, it is my professional opinion that the statistical analysis performed in this article are extremely weak.  They used observational data (true randomized control trials (RCT), the gold standard for evaluating efficacy of a treatment are difficult to conduct for mask usage due to practical and ethical concerns) aggregated at the state level and looked for differences in growth rates associated with mask mandates.  However, the statistical methods that they chose to use are elementary and in my opinion not appropriate for this type of analysis (I am happy to elaborate if there is interest).

    Curiously, one of the authors of this study, Damian Guerra, has written a letter to the East Longmeadow Town Council and Town Manager offering the following summary points based on an annotated bibliography: 

    • COVID-19 is a serious pandemic disease that warrants precautionary measures.

    • The best protections against COVID-19 are vaccination, ventilation, and generally good health (e.g., vitamin D repletion).

    • General civilian mask use and mask mandates likely do not reduce rates of COVID-19 transmission.

    • Studies purportedly demonstrating mask efficacy have used small sample sizes, have lacked comparison groups, or have omitted key information.

    • Among masks, only properly fitted KN95 (or related N/R/P95 type) respirators have demonstrated protection against viral infection.

    • Enhanced building ventilation is more effective than mask wearing at aerosol dispersion.

    I agree with the first two bullet points wholeheartedly, but the third statement statement “General civilian mask use and mask mandates likely do not reduce rates of COVID-19 transmission” is simply not supported by evidence.  The fourth bullet point may have been at least partially true earlier in the pandemic, but at this point (October 2021) this is simply false.  The fifth bullet point is false, and the sixth bullet point is true, but simply wearing a mask is a much more easily implementable prevention measure than modifying existing building ventilation.

    I will now address the contention from Guerra that “General civilian mask use and mask mandates likely do not reduce rates of COVID-19 transmission”.  Early in the pandemic, the evidence that masking reduced the the spread of COVID-19 was mixed.  There simply were not many good studies evaluating the effectiveness of mask at preventing the spread of COVID-19 because this is a novel virus that was only recently identified. However, as of October 2021, this is no longer the case.

    (Note: In Guerra’s letter to the East Longmeadow, he mentions Vitamin D repletion as a “proven strategy for Covid-19 mitigation”.  Recent work from McGill University was unable to find any link between Vitamin D Covid mitigation.  The Authors state in their conclusion: “In this 2-sample MR study, we did not observe evidence to support an association between 25OHD levels and COVID-19 susceptibility, severity, or hospitalization. Hence, vitamin D supplementation as a means of protecting against worsened COVID-19 outcomes is not supported by genetic evidence. Other therapeutic or preventative avenues should be given higher priority for COVID-19 randomized controlled trials.”)

    In January 2021, a review article entitled “An evidence review of face masks against COVID-19” by Howard et. al. was published in the Proceeding of the National Academy of Sciences of the United States of America (PNAS).  This article presents an even handed review of the available evidence of the efficacy of mask use in limiting the spread of COVID-19.  They conclude:

    Our review of the literature offers evidence in favor of widespread mask use as source control to reduce community transmission: Nonmedical masks use materials that obstruct particles of the necessary size; people are most infectious in the initial period postinfection, where it is common to have few or no symptoms (4546141); nonmedical masks have been effective in reducing transmission of respiratory viruses; and places and time periods where mask usage is required or widespread have shown substantially lower community transmission.

    (Note: In a separate blog post, Mr. McCarthy, who, I will remind you, is not an economist, contends that the mask mandate is having a negative impact on local businesses.  He offers basically no evidence of this beyond a few scattered anecdotes, but if he is concerned about the economy, Howard et. al. mentions that “Economic analysis suggests that mask wearing mandates could add 1 trillion dollars to the US GDP.”)

    For more evidence the use of masks in limiting the spread of COVID-19, the CDC has compiled (as on May 7, 2021) a list of studies evaluating the efficacy of masks.  In their conclusion, they state:

    Experimental and epidemiological data support community masking to reduce the spread of SARS-CoV-2. The prevention benefit of masking is derived from the combination of source control and wearer protection for the mask wearer. The relationship between source control and wearer protection is likely complementary and possibly synergistic14, so that individual benefit increases with increasing community mask use. Further research is needed to expand the evidence base for the protective effect of cloth masks and in particular to identify the combinations of materials that maximize both their blocking and filtering effectiveness, as well as fit, comfort, durability, and consumer appeal. Mask use has been found to be safe and is not associated with clinically significant impacts on respiration or gas exchange. Adopting universal masking policies can help avert future lockdowns, especially if combined with other non-pharmaceutical interventions such as social distancing, hand hygiene, and adequate ventilation.

    Notice that the CDC says “Further research is needed to expand the evidence base for the protective effect of cloth masks and in particular to identify the combinations of materials that maximize both their blocking and filtering effectiveness, as well as fit, comfort, durability, and consumer appeal.”  This is a sign of good, solid science.  When something is unknown and more evidence is needed, that is stated.  

    As of the writing of that CDC summary (May 7, 2021) there is a preponderance of observational and epidemiological evidence that mask wearing effectively limits the spread of COVID-19.  However, there was no randomized controlled trial evaluating the causal effectiveness of masks in limiting COVID-19 spread, but just recently a large randomized-trial was performed to study exactly the question of mask efficacy.

    On September 1, 2021, a working paper entitled “The Impact of Community Masking on COVID-19: A Cluster-Randomized Trial in Bangladesh” was published online. The authors of that study describe their experiment:

    A randomized-trial of community-level mask promotion in rural Bangladesh during COVID-19 shows that the intervention tripled mask usage and reduced symptomatic SARS-CoV-2 infections, demonstrating that promoting community mask-wearing can improve public health.

    This article finds statistically significant reductions in the spread of COVID-19 in villages where masks were worn compared to villages where masks were not worn.  In addition, they demonstrate that cloth masks also significantly lowered the spread of COVID-19 compared with villages that were not wearing masks.  It should be noted that the reduction in COVID-19 with cloth masks was smaller than the reduction observed when surgical masks were worn.  In the authors’ words:

    We present results from a cluster-randomized controlled trial of a scalable intervention designed to increase mask-wearing and reduce cases of COVID-19. Our estimates suggest that mask-wearing increased by 28.8 percentage points, corresponding to an estimated 51,347 additional adults wearing masks in intervention villages, and this effect was persistent even after active mask promotion was discontinued. The intervention led to a 9.3% reduction in symptomatic SARS-CoV-2 seroprevalence (which corresponds to a 103 fewer symptomatic seropositives) and an 11.9% reduction in the prevalence of COVID-like symptoms, corresponding to 1,587 fewer people reporting these symptoms. The effects were substantially larger (and more precisely estimated) in communities where we distributed surgical masks, consistent with their greater filtration efficiency measured in the laboratory (manuscript forthcoming). In villages randomized to receive surgical masks, the relative reduction in symptomatic seroprevalence was 11% overall, 23% among individuals aged 50-60, and 35% among those over 60.

    It is important to point out that currently, this article has not been peer-reviewed.  However, in my reading of the manuscript, it appears to be a well designed from a statistical perspective and the statistical methods are appropriate.  The Johns Hopkins School of Public Health made he following statement regarding the study (I would encourage everyone to read the full statement, including limitations that were identified):

    This was a very large and well-designed cluster-randomized controlled trial of a multi-pronged intervention program to encourage mask-wearing in rural and peri-urban Bangladesh from November 2020 to April 2021; it was available as a preprint and is thus not yet peer reviewed. The study found that the intervention package (which included mask distribution, public role-modeling, and encouragement to non-mask-wearers in public settings) more than tripled public mask usage behaviors (from 13% to 42%) without diminishing observed physical distancing.

    And:

    If the results are valid, they imply that near-universal mask wearing would be associated with much larger reductions in transmission.

    In conclusion, there is very strong observational and epidemiological evidence that mask use, both cloth and surgical, in public reduces community spread of COVID-19, and I would recommend that local municipalities too continue to comply with state and federal masking guidelines, put in place by experts in public health, epidemiology, and medicine, as a part of a continued effort, along with vaccinations, social distancing, and basic hygiene, to combat COVID-19.  I would encourage everyone to read the American College of Pediatrics statement endorsing the use of facemarks for children 2 years of age and older.

    Finally, while masks are an important par of COVID-19 prevention, the best weapon in our fight against this virus, and I think Dr. Guerra and I can both agree on this, is the safe and effective COVID-19 vaccine.  I would encourage everyone to get vaccinated and to say up to date on emerging guidelines for booster shots.

    Stay safe.

    Sincerely,

    Gregory J. Matthews, Ph.D.

  • Season Total – W/L 29-20, Spread 29-20, O/U 25-24

    Week 1  – W/L 9-7, Spread 11-5, O/U 8-8

    Week 2 – W/L 11-5, Spread 9-7, O/U 8-8

    Week 3 – W/L 8-8, Spread 8-8, O/U 9-7

    Week 4 – W/L 1-0, Spread 1-0, O/U 0-1

    Week 5 – W/L 1-1, Spread 1-1, O/U 1-1

    LA Rams at Seattle

    Outcome: Seahawks 28-27

    Spread: Seahawks +2.5

    Total:  Over 54.5

    NY Jets at Atlanta

    Outcome: Falcons 26-22

    Spread: Falcons -3

    Total: Over 45.5

    Philadelphia at Carolina

    Outcome: Panthers 25-23

    Spread: Eagles +2.5

    Total:Over 46

    Green Bay at Cincinnati

    Outcome: Packers 24-21

    Spread: Packers -2

    Total: Under 50

    New England at Houston

    Outcome: Patriots 27-16

    Spread: Patriots -8

    Total: Over 39

    Tennessee at Jacksonville

    Outcome: Titans 27-21

    Spread: Titans -4.5

    Total: Under 48.5

    Detroit at Minnesota

    Outcome: Vikings 28-21

    Spread: Lions +10

    Total: Under 49.5

    Denver at Pittsburgh

    Outcome: Broncos 19-18

    Spread: Steelers +1.5

    Total: Under 39.5

    Miami at Tampa Bay

    Outcome: Buccaneers 30-17

    Spread: Buccaneers -11

    Total: Under 48

    New Orleans at Washington

    Outcome: Football Team 21-20

    Spread: Football Team +2.5

    Total: Under 43.5

    Chicago at Las Vegas

    Outcome: Raiders 25-18

    Spread: Raiders -5.5

    Total: Under 46

    Cleveland at LA Chargers

    Outcome: Chargers 27-26

    Spread: Browns +2.5

    Total: Over 47

    San Francisco at Arizona

    Outcome: Cardinals 25-24

    Spread: 49ers +5

    Total:Under 52.5

    NY Giants at Dallas

    Outcome: Cowboys 28-21

    Spread: Giants +7

    Total: Under 52.5

    Buffalo at Kansas City

    Outcome: Chiefs 30-25

    Spread: Chiefs -3

    Total:Under 56.6

    Indianapolis at Baltimore

    Outcome: Ravens 27-20

    Spread: Colts +7

    Total: Over 46

  • Season Total – W/L 37-27, Spread 39-25, O/U 30-34

    Week 1  – W/L 9-7, Spread 11-5, O/U 8-8

    Week 2 – W/L 11-5, Spread 9-7, O/U 8-8

    Week 3 – W/L 8-8, Spread 8-8, O/U 9-7

    Week 4 – W/L 9-7, Spread 11-5, O/U 5-11

    Jacksonville at Cincinnati

    Outcome: Bengals 27-20

    Spread: Jaguars +7

    Total: Over 46

    Washington at Atlanta

    Outcome: Falcons 22-21

    Spread: Falcons +2

    Total: Under 47.5

    Houston at Buffalo

    Outcome: Bills 33-16

    Spread: Texans +17.5 

    Total: Over 47

    Detroit at Chicago

    Outcome: Bears 24-19

    Spread: Bears -3 

    Total: Over 41.5 

    Carolina at Dallas

    Outcome: Cowboys 26-22

    Spread: Cowboys -4

    Total: Under 51.5

    Indianapolis at Miami

    Outcome: Colts 21-20

    Spread: Colts +2.5

    Total: Under 42.5

    Cleveland at Minnesota

    Outcome: Vikings 25-24

    Spread: Vikings +1

    Total: Under 51.5

    NY Giants at New Orleans

    Outcome: Saints 25-20

    Spread: Giants +7

    Total: Under 51.5 

    Tennessee at NY Jets

    Outcome: Titans 26-20

    Spread: Titans -6

    Total: Over 44

    Kansas City at Philadelphia

    Outcome: Chiefs 29-23

    Spread: Eagles +7

    Total: Under 54.5

    Arizona at LA Rams

    Outcome: Rams 28-24

    Spread: Cardinals +4

    Total: Under 54.5 

    Seattle at San Francisco

    Outcome: 49ers 27-26

    Spread: Seahawks +2.5

    Total: Over 52

    Baltimore at Denver

    Outcome: Broncos 25-24

    Spread: Ravens +1

    Total: Over 44

    Pittsburgh at Green Bay

    Outcome: Packers 26-20

    Spread: Packers -6 

    Total: Over 45

    Tampa Bay at New England

    Outcome: Buccaneers 27-23

    Spread: Patriots +7

    Total: Under 50

    Las Vegas at LA Chargers

    Outcome: Chargers 29-23

    Spread: Chargers -3

    Total: Under 52

  • Season Total – W/L 28-20, Spread 28-20, O/U 25-23

    Week 1  – W/L 9-7, Spread 11-5, O/U 8-8

    Week 2 – W/L 11-5, Spread 9-7, O/U 8-8

    Week 3 – W/L 8-8, Spread 8-8, O/U 9-7

    Carolina at Houston

    Outcome: Panthers 19-18

    Spread: Texans +9

    Total: Under 43

    Washington at Buffalo

    Outcome: Bills 21-17

    Spread: Washington Football Team +7

    Total: Under 45.5

    Chicago at Cleveland

    Outcome: Browns 31-23

    Spread: Browns -7.5

    Total: Over 45

    Baltimore at Detroit

    Outcome: Ravens 28-25

    Spread: Lions +7.5

    Total: Over 51

    Arizona at Jacksonville

    Outcome: Cardinals 26-25

    Spread: Jaguars +8

    Total: Under 51.5 

    LA Chargers at Kansas City

    Outcome: Chiefs 29-25

    Spread: Chargers +4

    Total: Under 54.5

    New Orleans at New England

    Outcome: Patriots 22-20

    Spread: Saints +2.5

    Total: Under 43.5 

    Atlanta at NY Giants

    Outcome: Giants 27-22

    Spread: Giants -2.5

    Total: Over 47.5

    Indianapolis at Tennessee

    Outcome: Titans 29-25

    Spread: Colts +4.5

    Total: Under 54

    Cincinnati at Pittsburgh

    Outcome: Steelers 27-22

    Spread: Steelers -2.5

    Total: Over 42

    NY Jets at Denver

    Outcome: Broncos 28-13

    Spread: Broncos -10

    Total: Under 41.5

    Miami at Las Vegas

    Outcome: Miami 24-22

    Spread: Dolphins +3.5

    Total: Over 45

    Seattle at Minnesota

    Outcome: Seahawks 28-24

    Spread: Seahawks -1.5

    Total: Under 54

    Tampa Bay at LA Rams

    Outcome: Buccaneers 27-23

    Spread: Buccaneers -1

    Total: Under 55

    Green Bay at San Francisco

    Outcome: 49ers 26-25

    Spread: Packers +3.5

    Total: Over 50.5

    Philadelphia at Dallas

    Outcome: Cowboys 29-21

    Spread: Cowboys -3.5

    Total: Under 51.5 

  • Season Total – W/L 20-12, Spread 20-12, O/U 16-16

    Week 1  – W/L 9-7, Spread 11-5, O/U 8-8

    Week 2 – W/L 11-5, Spread 9-7, O/U 8-8

    NY Giants at Washington Football Team

    Outcome: Football Team 23-16

    Spread: Football Team -4

    Total: Under 41

    New Orleans at Carolina

    Outcome: Panthers 22-21

    Spread: Panther +3.5

    Total: Under 45

    Cincinnati at Chicago

    Outcome: Bears 25-19

    Spread: Bears -2

    Total: Under 44.5

    Houston at Cleveland

    Outcome: Browns 36-15

    Spread: Browns -13.5

    Total: Over 48

    LA Rams at Indianapolis

    Outcome: Rams 24-18

    Spread: Rams -3.5

    Total: Under 48

    Denver at Jacksonville

    Outcome: Broncos 26-17

    Spread: Broncos -6

    Total: Under 45

    Buffalo at Miami

    Outcome: Bills 27-23

    Spread: Bills -3.5

    Total: Over 47.5

    New England at NY Jets

    Outcome: Patriots 23-20

    Spread: Jets +6

    Total: Over 42.5

    San Francisco at Philadelphia

    Outcome: Eagles 25-22

    Spread: Eagles +3

    Total: Under 49.5

    Las Vegas at Pittsburgh

    Outcome: Steelers 25-23

    Spread: Raiders +6.5

    Total: Over 47

    Minnesota at Arizona

    Outcome: Cardinals 28-26

    Spread: Vikings +3.5

    Total: Over 51

    Atlanta at Tampa Bay

    Outcome: Buccaneers 26-23

    Spread: Falcons +12.5

    Total: Under 51.5

    Dallas at LA Chargers

    Outcome: Chargers 30-18

    Spread: Chargers -3

    Total: Under 55.5

    Tennessee at Seattle

    Outcome: Seahawks 26-25

    Spread: Titans +6.5

    Total: Under 54

    Kansas City at Baltimore

    Outcome: Chiefs 27-26

    Spread: Ravens +4

    Total: Under 54.5

    Detroit at Green Bay

    Outcome: Packers 36-15

    Spread: Packers -11.5

    Total: Over 48.5

     

  • Welcome!

    Predicted Records

    Predicted median records (Expected number of wins) Playoff Teams in bold

    AFC East

    Buffalo Bills 11-6 (11.179)

    New England Patriots 10-6 (9.933)

    Miami Dolphins 9-8 (8.538)

    NY Jets  5-12 (5.323)

    AFC North

    Pittsburgh Steelers 10-7 (10.070)

    Cleveland Browns 9-8 (9.201)

    Baltimore Ravens 9-8 (8.803)

    Cincinnati Bengals 4-13 (3.818)

    AFC South

    Indianapolis Colts 10-7 (9.826)

    Tennessee Titans 9-8 (8.641)

    Houston Texans 7-10 (7.404)

    Jacksonville Jaguars 5-12 (4.562)

    AFC West

    Kansas City Chiefs 12-5 (12.164)

    Las Vegas Raiders 10-7 (9.512)

    Los Angeles Chargers 9-8 (8.717)

    Denver Broncos 9-8 (8.603)

    NFC East

    Philadelphia Eagles 8-9 (7.854)

    Washington Football Team 8-9 (7.603)

    Dallas Cowboys 6-11 (5.930)

    NY Giants 6-11 (5.514)

    NFC North

    Green Bay Packers 11-6 (10.788)

    Minnesota Vikings 8-9 (8.331)

    Chicago Bears 7-11 (7.489)

    Detroit Lions 6-11 (5.904)

    NFC South

    Tampa Bay Buccaneers 11-6 (11.399)

    New Orleans Saints 10-7 (10.068)

    Atlanta Falcons 8-9 (8.294)

    Carolina Panthers 8-9 (7.804)

    NFC West

    Los Angeles Rams 11-6 (11.144)

    Seattle Seahawks 11-6 (10.687)

    Arizona Cardinals 9-8 (8.684)

    San Francisco 49ers 8-9 (8.213)

     

    Playoff Prediction

    AFC Seeds

    1. Chiefs
    2. Bills
    3. Steelers
    4. Colts
    5. Raiders
    6. Patriots
    7. Browns

    NFC Seeds

    1. Buccaneers
    2. Rams
    3. Packers
    4. Eagles
    5. Seahawks
    6. Saints
    7. Cardinals

    AFC Wild Card Round

    Bills over Browns, 28-18

    Steelers over Patriots, 23-18

    Colts over Raiders, 29-25

    NFC Wild Card Round

    Rams over Cardinals, 28-20

    Packers over Saints, 26-25

    Seahawks over Eagles, 27-21

    AFC Divisional Round

    Chiefs over Colts, 32-24

    Bills over Steelers, 24-20

    NFC Divisional Round

    Buccaneers over Seahawks, 26-24

    Rams over Packers, 27-22

    AFC Championship

    Chiefs over Bills, 30-26

    NFC Championship

    Rams over Buccaneers, 24-23

    Super Bowl

    Chiefs over Rams, 28-24

     

    Cheers!

     

     

     

  • Results

    Week 1: W/L 9-7, Spread 11-5, O/U 8-8

    Week 1 Picks

    Dallas at Tampa Bay

    Outcome: Buccaneers 32-17

    Spread: Buccaneers -9

    Total: Under 52

    Philadelphia at Atlanta

    Outcome: Falcons 25-22

    Spread: Eagles +3.5

    Total: Under 48.5

    Pittsburgh at Buffalo

    Outcome: Bills 25-21

    Spread: Steelers +6.5

    Total: Under 48.5

    NY Jets at Carolina

    Outcome: Panthers 28-19

    Spread: Panthers -4

    Total: Over 44

    Minnesota at Cincinnati

    Outcome: Vikings 28-18

    Spread: Viking -3

    Total: Under 47.5

    Seattle at Indianapolis

    Outcome: Seahawks 25-24

    Spread: Colts +3

    Total: Over 49

    San Francisco at Detroit

    Outcome: 49ers 26-23

    Spread: Lions +8.5

    Total: Over 45

    Jacksonville at Houston

    Outcome: Texans 31-22

    Spread: Texans +3

    Total: Over 45

    Arizona at Tennessee

    Outcome: Titans 27-25

    Spread: Cardinals +3

    Total: Over 52

    LA Chargers at Washington Football team

    Outcome: Football Team 21-20

    Spread: Chargers +1

    Total: Under 44.5

    Cleveland at Kansas City

    Outcome: Chiefs 32-23

    Spread: Chiefs -5.5

    Total: Over 54.5

    Green Bay at New Orleans

    Outcome: Saints 26-25

    Spread: Saints +3.5

    Total: Over 50

    Miami at New England

    Outcome: Patriots 22-17

    Spread: Patriots -3

    Total: Under 43.5

    Denver at NY Giants

    Outcome: Broncos 23-20

    Spread: Broncos -3

    Total: Over 42

    Chicago at LA Rams

    Outcome: Rams 27-16

    Spread: Rams -7.5

    Total: Under 46.5

    Baltimore at Las Vegas

    Outcome: Raiders 27-25

    Spread: Raiders +4

    Total: Over 50.5

  • So, I’ve been working on missing data in statistical shape analysis for the last several years and one question that has popped up out of this is how would we deal with missing data for angular data (this question is related to how to deal with missing data in shapes, i swear).  So, as part of this I’ve been reading about regression models for angular data and angular data in general.

    Here are some links to papers on the topic:

    I graduated with a Ph.D. in statistics ten years ago, and I start studying statistics almost 20 years ago, and I’ve never ever thought about angular data analysis until now.  I’m just constantly amazing by how little I know.  There is just too much stuff.

    Cheers.

     

  • I saw on Flowing Data this Snowflake Generator.  It’s way cooler than my snowflake generator.

    Cheers.