"to measure is to know. If you cannot measure it, you cannot improve it": Statistical modeling cannot compensate for unmeasured bias

European Urology

Volumn 65, Issue 4, 2014, Pages 701-703

  Stattin, Pär ^a,b   Loeb, Stacy ^c  

^a UMEÅ UNIVERSITY   (Sweden)

^b MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^c NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIANDROGEN; PROSTATE SPECIFIC ANTIGEN;

CANCER MORTALITY; CANCER RADIOTHERAPY; CANCER SURVIVAL; GLEASON SCORE; HUMAN; OBSERVATIONAL STUDY; OUTCOME ASSESSMENT; PRIMARY TUMOR; PRIORITY JOURNAL; PROSTATE CANCER; PROSTATECTOMY; REVIEW; SELECTION BIAS; STATISTICAL MODEL;

HUMANS; MALE; PROPENSITY SCORE; PROSTATECTOMY; PROSTATIC NEOPLASMS;

EID: 84894427864     PISSN: 03022838     EISSN: 18737560     Source Type: Journal    
DOI: 10.1016/j.eururo.2013.06.037     Document Type: Editorial

References (7)

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