PMID- 24758859
OWN - NLM
STAT- MEDLINE
DCOM- 20160509
LR  - 20140424
IS  - 2448-5667 (Electronic)
IS  - 0443-5117 (Linking)
VI  - 52
IP  - 2
DP  - 2014 Mar-Apr
TI  - [Clinical research XX. From clinical judgment to multiple logistic regression 
      model].
PG  - 192-7
AB  - The complexity of the causality phenomenon in clinical practice implies that the 
      result of a maneuver is not solely caused by the maneuver, but by the interaction 
      among the maneuver and other baseline factors or variables occurring during the 
      maneuver. This requires methodological designs that allow the evaluation of these 
      variables. When the outcome is a binary variable, we use the multiple logistic 
      regression model (MLRM). This multivariate model is useful when we want to 
      predict or explain, adjusting due to the effect of several risk factors, the 
      effect of a maneuver or exposition over the outcome. In order to perform an MLRM, 
      the outcome or dependent variable must be a binary variable and both categories 
      must mutually exclude each other (i.e. live/death, healthy/ill); on the other 
      hand, independent variables or risk factors may be either qualitative or 
      quantitative. The effect measure obtained from this model is the odds ratio (OR) 
      with 95 % confidence intervals (CI), from which we can estimate the proportion of 
      the outcome's variability explained through the risk factors. For these reasons, 
      the MLRM is used in clinical research, since one of the main objectives in 
      clinical practice comprises the ability to predict or explain an event where 
      different risk or prognostic factors are taken into account.
FAU - Berea-Baltierra, Ricardo
AU  - Berea-Baltierra R
AD  - Departamento de Medicina Interna, Hospital de Oncologia, Centro Medico Nacional 
      Siglo XXI, Instituto Mexicano del Seguro Social, Distrito Federal, Mexico. 
      ricberbal@hotmail.com.
FAU - Rivas-Ruiz, Rodolfo
AU  - Rivas-Ruiz R
FAU - Perez-Rodriguez, Marcela
AU  - Perez-Rodriguez M
FAU - Palacios-Cruz, Lino
AU  - Palacios-Cruz L
FAU - Moreno, Jorge
AU  - Moreno J
FAU - Talavera, Juan O
AU  - Talavera JO
LA  - spa
PT  - English Abstract
PT  - Journal Article
TT  - Investigacion clinica XX. Del juicio clinico a la regresion logistica multiple.
PL  - Mexico
TA  - Rev Med Inst Mex Seguro Soc
JT  - Revista medica del Instituto Mexicano del Seguro Social
JID - 101243727
SB  - IM
MH  - *Biomedical Research
MH  - Humans
MH  - Judgment
MH  - *Logistic Models
OTO - NOTNLM
OT  - Biomedical research
OT  - Causality
OT  - Logistic models
EDAT- 2014/04/25 06:00
MHDA- 2016/05/10 06:00
CRDT- 2014/04/25 06:00
PHST- 2014/04/25 06:00 [entrez]
PHST- 2014/04/25 06:00 [pubmed]
PHST- 2016/05/10 06:00 [medline]
PST - ppublish
SO  - Rev Med Inst Mex Seguro Soc. 2014 Mar-Apr;52(2):192-7.