Problems due to small samples and sparse data in conditional logistic regression analysis.
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Impact of environment and social gradient on Leptospira infection in urban slumsSensitivity analyses for sparse-data problems-using weakly informative Bayesian priorsIntegrating informative priors from experimental research with Bayesian methods: an example from radiation epidemiologyAssociations of welding and manganese exposure with Parkinson disease: review and meta-analysisPrenatal lead exposure, delta-aminolevulinic acid, and schizophrenia.Glyphosate results revisitedBayesian bias adjustments of the lung cancer SMR in a cohort of German carbon black production workersGlyphosate Results Revisited: De Roos et al. RespondMaximum likelihood, profile likelihood, and penalized likelihood: a primerInflammatory and coagulation biomarkers and mortality in patients with HIV infectionImputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE.Performance of Firth-and logF-type penalized methods in risk prediction for small or sparse binary dataAssociation of liver enzymes with incident type 2 diabetes: A nested case control study in an Iranian populationEvaluation of clinical outcomes and renal vascular pathology among patients with lupus.A review of the data quality and comparability of case-control studies of low-level exposure to benzene in the petroleum industry.Bias-reduced and separation-proof conditional logistic regression with small or sparse data sets.Digoxin use and risk of invasive breast cancer: evidence from the Nurses' Health Study and meta-analysis.Risk Factors for Hepatitis C Virus Reinfection After Sustained Virologic Response in Patients Coinfected With HIVA preliminary examination of the relationships between posttraumatic stress symptoms and crack/cocaine, heroin, and alcohol dependence.Triggering of nocturnal arrhythmias by sleep-disordered breathing events.Medical conditions and depressive, anxiety, and somatic symptoms in older adults with and without generalized anxiety disorder.Effectiveness of helmets in skiers and snowboarders: case-control and case crossover study.Quantitative molecular detection of putative periodontal pathogens in clinically healthy and periodontally diseased subjectsGenotype-guided tamoxifen therapy: time to pause for reflection?The causal nature of the association between neighborhood deprivation and drug abuse: a prospective national Swedish co-relative control study.Stability and change in sexual orientation identity over a 10-year period in adulthood.Low-dose oral sirolimus and the risk of menstrual-cycle disturbances and ovarian cysts: analysis of the randomized controlled SUISSE ADPKD trialThe effects of cannabis intoxication on motor vehicle collision revisited and revised.Negative life events and attempted suicide in rural ChinaIron poisoning in young children: association with the birth of a siblingEffects of aggregation of drug and diagnostic codes on the performance of the high-dimensional propensity score algorithm: an empirical example.Association of the calcyon neuron-specific vesicular protein gene (CALY) with adolescent smoking initiation in China and CaliforniaResidents in difficulty--just slower learners? A case-control studyCovariate selection in high-dimensional propensity score analyses of treatment effects in small samples.Predictors of recovery from prenatal depressive symptoms from pregnancy through postpartum.Improving quality assessment through multilevel modeling: the case of nursing home compare.Outcome modelling strategies in epidemiology: traditional methods and basic alternatives.The case-crossover design via penalized regression.Acute infections and venous thromboembolism.Environmental determinants of bicycling injuries in Alberta, Canada.
P2860
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P2860
Problems due to small samples and sparse data in conditional logistic regression analysis.
description
2000 nî lūn-bûn
@nan
2000 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2000 թվականի մարտին հրատարակված գիտական հոդված
@hy
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
name
Problems due to small samples ...... logistic regression analysis.
@ast
Problems due to small samples ...... logistic regression analysis.
@en
type
label
Problems due to small samples ...... logistic regression analysis.
@ast
Problems due to small samples ...... logistic regression analysis.
@en
prefLabel
Problems due to small samples ...... logistic regression analysis.
@ast
Problems due to small samples ...... logistic regression analysis.
@en
P2093
P1476
Problems due to small samples ...... logistic regression analysis.
@en
P2093
Greenland S
Schwartzbaum JA
P304
P356
10.1093/OXFORDJOURNALS.AJE.A010240
P407
P577
2000-03-01T00:00:00Z