Comparing benefits from many possible computed tomography lung cancer screening programs: Extrapolating from the National Lung Screening Trial using comparative modeling

PLoS ONE

Volumn 9, Issue 6, 2014, Pages

  McMahon, Pamela M ^a,b   Meza, Rafael ^c   Plevritis, Sylvia K ^d   Black, William C ^e   Tammemagi, C Martin ^f   Erdogan, Ayca ^d   Ten Haaf, Kevin ^g   Hazelton, William ^h   Holford, Theodore R ⁱ   Jeon, Jihyoun ^h   Clarke, Lauren ^j   Kong, Chung Yin ^a,b   Choi, Sung Eun ^a   Munshi, Vidit N ^a   Han, Summer S ^d   Van Rosmalen, Joost ^g   Pinsky, Paul F ^k   Moolgavkar, Suresh ^h,l   De Koning, Harry J ^g   Feuer, Eric J ^k  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

^d STANFORD UNIVERSITY   (United States)

^e DARTMOUTH MEDICAL SCHOOL   (United States)

^f BROCK UNIVERSITY   (Canada)

^g ERASMUS MEDICAL CENTER   (Netherlands)

^h Fred Hutchinson Cancer Research Center   (United States)

ⁱ YALE UNIVERSITY   (United States)

^j Department of Biostatistics and Biomathematics Fred Hutchinson Cancer Research Center ^*  (United States)

^k NATIONAL CANCER INSTITUTE   (United States)

^l UNIVERSITY OF WASHINGTON   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; CANCER MORTALITY; CANCER SCREENING; COHORT ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; HEALTH PROGRAM; HUMAN; LIFE HISTORY; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; PATIENT SELECTION; PRACTICE GUIDELINE; SMOKING; SMOKING CESSATION; UNITED STATES; CLINICAL TRIAL (TOPIC); EVALUATION STUDY; LUNG NEOPLASMS; MIDDLE AGED; PREDICTIVE VALUE; RADIOGRAPHY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; CLINICAL TRIALS AS TOPIC; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84903647739     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0099978     Document Type: Article

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