An overview of robust methods in medical research

Statistical Methods in Medical Research

Volumn 21, Issue 2, 2012, Pages 111-133

  Farcomeni, Alessio ^a   Ventura, Laura ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

breakdown point; influence function; likelihood methods; logistic regression; M estimation; R; regression scale model; ROC curve; student t test; survival analysis

Indexed keywords

ANALYSIS OF VARIANCE; AREA UNDER THE CURVE; BOWMAN CAPSULE; CANCER PATIENT; CREATININE BLOOD LEVEL; FUNCTIONAL INDEPENDENCE MEASURE; GLOMERULUS FILTRATION RATE; HUMAN; INFERENTIAL STATISTICS; KERNEL METHOD; LARGE CELL LYMPHOMA; LOGISTIC REGRESSION ANALYSIS; MEDICAL RESEARCH; MOTOR PERFORMANCE; PEARSON SYNDROME; PROPORTIONAL HAZARDS MODEL; PROSTATE CANCER; RANK SUM TEST; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; REVIEW; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STROKE; STROKE PATIENT; STUDENT T TEST; SURVIVAL;

BIOMEDICAL RESEARCH; BIOSTATISTICS; DATA INTERPRETATION, STATISTICAL; FOOD SUPPLY; GLOMERULAR FILTRATION RATE; HUMANS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; LYMPHOMA, LARGE-CELL, ANAPLASTIC; MALE; MODELS, STATISTICAL; PROSTATIC NEOPLASMS; ROC CURVE; STROKE; SURVIVAL ANALYSIS;

EID: 80755164153     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280210385865     Document Type: Review

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