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• medical:criticalCare RCTs ber01eff.pdf
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• medical:cv pocockCVtrialsFDA2019-12-10.pdf
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• medical:guidelines DIA presentation Mathematical Algorithms for Selecting Subjects for Clinical Trials 062213.pdf
• medical:guidelines Individualizing Guidelines - May 3 2011.pdf
• medical:guidelines Poster - CSRC - Clinical Decision Support System for Chemotherapy-Induced Cardiotoxicity - DRAFT - 2013.12.07.pdf
• medical:kidney Evaluation of Trial Outcomes in Acute Kideny Injury by Creatinine Modeling_Pickering.pdf
• medical:kidney hij20ass.pdf
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• medical:kidney medical-kidney-notes.html
• medical:kidney medical-kidney-notes.md
• medical:kidney ou16ass.pdf
• medical:kidney The Clinical Utility of Plasma Neutriphil Gelatinase-Associated Lipocalin in Acute Kidney Injury_Pickering.pdf
• medical:kidney The Definition and Detection of Acute Kidney Injury_Pickering.pdf
• medical:kidney wai09cre.pdf
• medical:learningHealthSystem AHA-LHS-CardioCare.pdf
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• medical:osa Circulation-2005-Arias-375-83.pdf
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• medical:pancreas MSKK PanCan predictionNomogram BrJSurg 09.pdf
• medical:prostate Logothetis CJ New PCPT analysis (Ed) Ca Prev Res May 2008.pdf
• medical:prostate nic08rel.pdf
• medical:prostate Pinsky P New PCPT analysis Ca Prev Res May 2008.pdf
• medical:prostate Redman MW New PCPT analysis Ca Prev Res May 2008.pdf
• medical:riskPerception 2016 - Journal of clinical epidemiology - Kappen et al. - Barriers and facilitators perceived by physicians when using prediction models.pdf
• medical:riskPerception fre19how.pdf
• medical:riskPerception hof15nat.pdf
• medical:riskPerception medical-riskPerception-notes.txt
• medical:riskPerception paper_BELIV_evaluating_uncertainty_vis.pdf
• medical:riskPerception PNAS-2014-Morgan-7176-84.pdf
• medical:riskPerception risk_perception_research_methodology.pdf
• medical:riskPerception Statistical Methods for Eliciting Probability Distributions.pdf
• medical:riskPerception probability kha2ind.pdf
• medical:riskPerception probability perceptions.jpg
• medical:riskPerception probability decision gui15pro.pdf
• medical:survivalAnalysisExamples medical:coag cou15six.pdf
• medical:utilities ahm14new.pdf
• medical:utilities CatBUB-Designs-Manuscript.pdf
• medical:utilities CatBUB-Designs-Supplement.pdf
• medical:utilities ema-preferences.pdf
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• medical:utilities thomasMurray-Bayesian-Utility-Based-Designs.pdf
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• moons imputeWithTranscan.pdf
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• moons penaltyScript.txt
• moons:PROGRES abstract.odt
• moons:PROGRES concept.odt
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• multivariate obr88com.pdf
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• multivariate:cancor bre97pre.pdf
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• multivariate:cancor luo16can.pdf
• multivariate:cancor multivariate-cancor-notes.txt
• multivariate:cancor via05rob.pdf
• multivariate:cluster multivariate-cluster-notes.md
• multivariate:cluster ray16wha.pdf
• multivariate:copula gom19cop.pdf
• multivariate:copula kle19mix.pdf
• multivariate:copula multivariate-copula-notes.txt
• multivariate:shared-parameter:ordinal:multEndpoints:mixedEffects iva16mix.pdf Ivanova et al 2016
• multivariate:gls gol86mul.pdf
• multivariate:gls gol89res.pdf
• multivariate:gls pot64gen.pdf
• multivariate:multipleSeries multivariate-multipleSeries-notes.txt
• multivariate:multipleSeries TITB-00110-2004.R2.pdf
• multivariate:multipleSeries TR12-2006.pdf
• multivariate:socialNetwork badResearch lyo11spr.pdf
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• observational badResearch goo17usi.pdf
• observational:bias riskOfBiasSterne.pdf
• obsVar dem07agr.pdf
• obsVar kro08why.pdf
• ordinal bau11fit.pdf
• ordinal categoricalVGAM.pdf
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• ordinal mcc80reg.pdf
• ordinal McCulloughNelderWilcoxon.pdf
• ordinal mck75sta.pdf
• ordinal nejm-epi.r
• ordinal ordinal-notes.txt
• ordinal rctExamples.txt
• ordinal sal91mon.pdf
• ordinal sne64sca.pdf
• ordinal feh tia24add.pdf Yuqi Tian et al multiple detection limits with simparametric cumulative probability models
• ordinal tha22not.pdf
• ordinal ver15inc.pdf
• ordinal wal67est.pdf
• ordinal whi93sam.pdf
• ordinal whi93samErrata.pdf
• ordinal whi93samLTTE.pdf
• ordinal wil10fit.pdf Williams Stata oglm heteroskedastic ordered models
• ordinal feh liu17mod.pdf
• ordinal feh tia20emp.pdf
• ordinal nonparametric fay18cau.pdf
• ordinal ordinal:genLinkFunctions tut20non.pdf location-shift models
• ordinal:continuation-ratio comparison to clog-log link model
• ordinal:continuous Modeling continuous response variables using ordinal regression by Qi Liu, B Shepherd, C Li, F Harrell 2017
• ordinal:continuous Asymptotic properties for cumulative probability models for continuous outcomes by Chun Li, Yuqi Tian, D Zeng, B Shepherd, 2023
• ordinal RCTs:multEndpoints ami20ord.pdf
• ordinal RCTs:multEndpoints ber91ana.pdf
• ordinal RCTs:multEndpoints fol20ana.pdf
• ordinal RCTs:multEndpoints sco97sta.pdf
• ordinal RCTs:multEndpoints:copula sun19cop.pdf
• ordinal RCTs:ordinal roo11add.pdf
• ordinal serialData serialData:ordinal alb94mar.pdf
• ordinal serialData:ordinal dzi14tim.pdf
• ordinal serialData:ordinal jia18joi.pdf
• ordinal serialData:ordinal par06gen.pdf
• ordinal:serialData:nonparametric Noguchi et al
• ordinal:genLinkFunctions Bayesian ordinal and binary regression models with a parametric family of mixture links.pdf
• ordinal:genLinkFunctions Generalization of the probit and logit methods for dose response curves.pdf
• ordinal:genLinkFunctions Generalized logistic models.pdf
• ordinal:genLinkFunctions Goodness of link tests for generalized linear models.pdf
• ordinal:genLinkFunctions ian17rob.pdf
• ordinal:genLinkFunctions On two families of transformations to additivity for binary response data.pdf
• ordinal:genLinkFunctions ordinal-genLinkFunctions-notes.txt
• ordinal:sampleSize hap19opt.pdf
• ordinal:sampleSize wal04sam.pdf
• ordinal:serial hed94ran.pdf
• ordinal:serial nea21pre.pdf
• ordinal:serial ordinal-serial-notes.html
• ordinal:serial ordinal-serial-notes.md
• ordinal:serial yu03use.pdf
• ordinal:serial serialData:ordinal agr93pro.pdf
• ordinal:serial serialData:ordinal bar17lme.pdf
• ordinal:serial serialData:ordinal hir20mvo.pdf
• ordinal:serial serialData:ordinal man08est.pdf
• ordinal:serial serialData:ordinal penalizedPrediction:serial jaz22var.pdf
• ordinal:survival:censoring
  • Original Peto & Peto paper: pet73exp
  • Original Turnbull papers: tur74non and tur76emp
  • The proportional odds model for multivariate interval-censored failure time data by Man-Hua Chen, X Tong, J Sun 2007
  • A semiparametric model for regression analysis of interval-censored failure time data by DM Finkelstein, RA Wolfe 1985; example dataset bcos in the R interval package
  • The Statistical Analysis of Interval-censored Faiilure Time Data by Jianguo Sun
  • R interval package
  • R icenReg package
  • Discrete interval censored survival models by K Holst and T Scheike
  • Interval censoring by Z Zhang and J Sun, 2009
  • Addressing multiple detection liits with semiparametric cumulative probability models by Yuqi Tian et al, 2024
    • Includes supplementary material that includes a nice derivation of the Wilcoxon statistic from the PO model
  • Semiparametric regression analysis for doubly censored data by T Cai, S Cheng, Biometrika 2004.
  • R MLEcens package by M Maathuis (extremely slow for N=100,000; survival package requires > 64gb memory for this); for general rectangles)
    • w <- cbind(1:N, c(1:10, 14, 12:N), rep(0, N), rep(1, N)); computeMLE(w, B=c(1,1))
  • R gte package (generalized Turnbull estimator)
  • R timereg package by T Scheike and T Matinussen - has a prop.odds function that handles right censoring
  • icenReg: Regression models for interval censored data in R by Clifford Anderson-Bergman, JSS 2017
  • An efficient implementation of the EMICM algorithm for the interval censored NPMLE by Clifford Anderson-Bergman, JCGS 2017
• orthopedics spi05rea.pdf
• orthopedics spi05reaEditorial.pdf
• orthopedics spi05reaSheet.pdf
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• personalizedMed personalizedMed-notes.md
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• personalizedMed:baselineRisk ely03dro.pdf
• personalizedMed:baselineRisk ely03droFig4.png
• personalizedMed:baselineRisk yeh11pre.pdf
• personalizedMed:baselineRisk feh cal97sel.pdf
• personalizedMed:oncolory Precision medicine: Too big to fail? by Nafis Hasan
• pharma br_sum07.pdf
• pharma drugDev
• pharma eic12adaAdaptiveLicensing.pdf
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• pharma:fda pharma-fda-notes.md
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• pharmaSafety GregBall-approximating-utilities-2022-04-07.docx
• pharmaSafety karlPeace.pdf
• pharmaSafety pharmaSafety-notes.txt
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• pharmaSafety Reference_ranges_for_blood_tests.html
• pharmaSafety rosnerFDA2020-02-05.pdf
• pharmaSafety ste21imp.pdf
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• pharmaSafety survival:recurrent hen16saf.pdf
• phil.smith hazard.tex
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• postSelectionInference rms:multivar:modelApprox regression:variableSelection gua20pos.pdf
• predictiveAccuracy bro74non.pdf
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• predictiveAccuracy measurement RCTs:multEndpoints nonparametric:rankcorr bro17coma.pdf
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• progmod feh progmod.pdf
• proteomicsLipidomics Carb metab children T1D Oresic.pdf
• proteomicsLipidomics Fatty fish diet lipidomics 2009.pdf
• proteomicsLipidomics Lankinen carb Met children T1DM Oresic2009_supplement.odt
• proteomicsLipidomics Practical proteomics statistical tools.pdf
• psychometrics fav05dis.pdf
• race race-notes.txt
• race wil12int.pdf
• RCTs and87con.pdf
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• RCTs Clinical Trial Concept Proposal.txt
• RCTs Ethics
• RCTs fre09mon.pdf
• RCTs hersonMerck2020-04-28.pdf
• RCTs HTE
• RCTs Kaul & Diamond Commentary Trial & Error JACC 2010.pdf
• RCTs ken07lim.pdf
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• RCTs phiweb.pdf
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• RCTs sensibleGuidelines.txt
• RCTs Stone & Pocock Editorial JACC 2010.pdf
• RCTs tod0725.pdf
• RCTs whi12inc.pdf
• RCTs feh bai08ens.pdf
• RCTs genStat:change bla11com.pdf
• RCTs:exclusions:post-randomization:compliance Fergusson et al 2002
• RCTs:adaptive Adaptive Design - Rationale and Considerations.odp
• RCTs:adaptive Adaptive Trial Design Porter 10-14-11.pdf
• RCTs:adaptive bayesian and adaptive.pptx
• RCTs:adaptive bha16ada.pdf
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• RCTs:adaptive ros11opt.pdf
• RCTs:adaptive wil21cos.pdf
• RCTs:adaptive ethics phi15are.pdf
• RCTs:adaptive:smart kidwell2021-03-12.pdf
• RCTs:adaptive:smart RCTs-adaptive-smart-notes.txt
• RCTs:adjudication fel21pro.pdf
• RCTs:adjudication coo00adj.pdf TD Cook: Adjusting survival analysis for the presence of unadjudicated events
• RCTs:ancova ben21imp.pdf
• RCTs:ancova emerson.ppt
• RCTs:ancova joh22inf.pdf
• RCTs:ancova lan82ana.pdf
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• RCTs:ancova oco09eff.pdf
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• RCTs:ancova vic01ana.pdf
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• RCTs:attitudes mey19obj.pdf
• RCTs:blinding jab15eff.pdf
• RCTs:blinding mei98cli.pdf
• RCTs:blinding RCTs-blinding-notes.html
• RCTs:blinding RCTs-blinding-notes.md
• RCTs:blinding woo08emp.pdf
• RCTs:borrowInfo vie14use.pdf
• RCTs:choice yan13con.pdf
• RCTs:cluster fio16int.pdf
• RCTs:cluster gir16sta.pdf
• RCTs:cluster hoo16sam.pdf
• RCTs:cluster hoo18ana.pdf
• RCTs:cluster li20pow.pdf
• RCTs:cluster meu15clu.pdf
• RCTs:cluster mur04des.pdf
• RCTs:cluster murray.txt
• RCTs:cluster Patsopoulos (2011).pdf.xz
• RCTs:cluster pragmaticMurrayENAR.pdf
• RCTs:cluster Using Pragmatic Clinical Trials.pdf.xz
• RCTs:cluster ethics wei12ott.pdf
• RCTs:cluster:steppedWedge hoo21key.pdf
• RCTs:cluster:steppedWedge ken20nov.pdf
• RCTs:cluster:steppedWedge RCTs-cluster-steppedWedge-notes.txt
• RCTs:cluster:steppedWedge Power calculations by Phil Boonstra, U. Michigan
• RCTs:cluster:xover arn17und.pdf
• RCTs:cluster:xover gir08sam.pdf
• RCTs:cluster:xover gra19how.pdf
• RCTs:cluster:xover hem20use.pdf
• RCTs:cluster:xover mor17cho.pdf
• RCTs:cluster:xover rei12emp.pdf
• RCTs:cluster:xover tur07ana.pdf
• RCTs:cluster:staircase Granthan KL et al 2023: The staircase cluster randomised trial design: A pragmatic alternative to the stepped wedge
• RCTs:compareWithObservational RCTs-compareWithObservational-notes.txt
• RCTs:compareWithObservational reversals.jpg
• RCTs:compEffectiveness gar09com.pdf
• RCTs:compEffectiveness luc09ret.pdf
• RCTs:compEffectiveness SMDMCERStatementMay2009_002.pdf
• RCTs:compEffectiveness User-Guide-to-Observational-CER-1-10-13.pdf
• RCTs:compliance adl21adj.pdf
• RCTs:compliance hol14eff.pdf
• RCTs:compliance mur18imp.pdf
• RCTs:compliance RCTs-compliance-notes.txt
• RCTs:compliance synergy_published.pdf
• RCTs:confounding man16pot.pdf
• RCTs:covid19 bey21des.pdf
• RCTs:covid19 cle21eff.pdf
• RCTs:covid19 mey20sta.pdf
• RCTs:crossover gri85bay.pdf
• RCTs:crossover lin21not.pdf
• RCTs:crossover RCTs-crossover-notes.txt
• RCTs:cv poc19sta.pdf
• RCTs:definitions hel16pre.pdf
• RCTs:differentialEffectiveness berryHTE2020-12-01.pdf
• RCTs:differentialEffectiveness berryHTE2020-12-01.pptx
• RCTs:differentialEffectiveness din18dec.pdf
• RCTs:differentialEffectiveness eng00het.pdf
• RCTs:differentialEffectiveness fhNotesModelIArestrictedToGeneralizedRisk.pdf
• RCTs:differentialEffectiveness gau21ass.pdf
• RCTs:differentialEffectiveness interaction
• RCTs:differentialEffectiveness iwa15imp.pdf.xz
• RCTs:differentialEffectiveness ken10ass.pdf
• RCTs:differentialEffectiveness ken16ris.pdf
• RCTs:differentialEffectiveness ken18per.pdf
• RCTs:differentialEffectiveness kov13ass.pdf
• RCTs:differentialEffectiveness RCTs-differentialEffectiveness-notes.html
• RCTs:differentialEffectiveness RCTs-differentialEffectiveness-notes.md
• RCTs:differentialEffectiveness referencesKendDsubmittedIJE.pdf
• RCTs:differentialEffectiveness riskDifference
• RCTs:differentialEffectiveness sad20thr.pdf
• RCTs:differentialEffectiveness tin18sta.pdf
• RCTs:differentialEffectiveness var14sta.pdf
• RCTs:differentialEffectiveness vol20tre.pdf
• RCTs:differentialEffectiveness zha13eff.pdf.bz2
• RCTs:differentialEffectiveness genStat:association dee02iss.pdf
• RCTs:differentialEffectiveness penalizedPrediction du21las.pdf
• RCTs:differentialEffectiveness:zha13eff example.R
• RCTs:differentialEffectiveness:zha13eff FUN-lib.R
• RCTs:differentialEffectiveness:zha13eff sim.csv.bz2
• RCTs:dmc cal17rec.pdf
• RCTs:dmc dem16dat.pdf
• RCTs:dmc ellenbergTalk.pptx
• RCTs:dmc lew16enh.pdf
• RCTs:dmc RCTs-dmc-notes.txt
• RCTs:dmc UWsampleReport.pdf
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• RCTs:dmc:training The Reporting Statistician sent.pptx
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• RCTs:multEndpoints:multiplicity Redundant multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses by Mark Rubin
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• RCTs:multEndpoints Problems with DOOR by Thomas Lumley
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• RCTs:multEndpoints:pfs Missing Data and Censoring in the Analysis of Progression Free Survival in Oncology Clinical Trials.pdf
• RCTs:multEndpoints:pfs Pharmaceutical Statistics - 2007 - Carroll - Analysis of progressionтАРfree survival in oncology trials some common.pdf
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• RCTs:multEndpoints:win-ratio:win-time tro24use.pdf: Use of win time for ordered composite endpoints in clinical trials by JF Troendle, ES Leifer, et al, 2024
• RCTs:multEndpoints:win-ratio but24win.pdf: J Butler, N Stockbridge, M Packer: Win Ratio: A seductive but potentially misleading method for evaluating evidence form clinical trials, 2024
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• RCTs:permutedBlocks:stratification notes especially dealing with small sites
• RCTs:placebo RCTs:surgical bea20con.pdf
• RCTs:placebo mur21dem.pdf E Murray: Demystifying the placebo effect
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