Predictive Influence of Variables on the Odds Ratio and in the Logistic Model
ثبت نشده
چکیده
We study the influence of explanatory variables in prediction by looking at the distribution of the log-odds ratio. We also consider the predictive influence of a subset of unobserved future variables on the distribution of log-odds ratio as well as in a logistic model, via the Bayesian predictive density of a future observation. This problem is considered for dichotomous, as well as continuous explanatory variables.
منابع مشابه
بهکارگیری متغیرهای پنهان در مدل رگرسیون لجستیک برای حذف اثر همخطی چندگانه در تحلیل برخی عوامل مرتبط با سرطان پستان
Background and Objectives: Logistic regression is one of the most widely used generalized linear models for analysis of the relationships between one or more explanatory variables and a categorical response. Strong correlations among explanatory variables (multicollinearity) reduce the efficiency of model to a considerable degree. In this study we used latent variables to reduce the effects of ...
متن کاملLogistic Regression Analysis of Some Factors Influencing Incidence of Retained Placenta in a Holstein Dairy Herd
To investigate the effects of certain factors on the rate of retained placenta, 2844 calving records from 1288 Holstein cows in a herd were used. These cows calved during year period of 2001 to 2007. A generalized statistical linear model was applied to analyze the data. Logistic regression model was applied as the statistical model. In the model, fixed effects of year, season (warm or cold) an...
متن کاملSex under Influence of Drugs: A Nationwide Survey among Iranian Female Sex Workers
Background: Due to the high level of sexual relationships, prostitute women are faced with many dangers, including acquired immune deficiency syndrome (AIDS), sexually transmitted infections (STIs), fertility problems, drug use, etc. In this regard, addict prostitute women are exposed to more risks because drug use is considered as an outstanding factor in thos...
متن کاملمقایسه دقت پیش بینی شبکه های عصبی مصنوعی و رگرسیون لجستیک دو متغیره در تشخیص همزمان بیماری فشارخون و دیابت
Background : Diabetes and hypertension are from important non-communicable diseases in the world and their prevalence are very important for health authorities. The objective of this study was to compare the predictive precision of joint logistic regression (LR) and artificial neutral network (ANN) in concurrent diagnosis of diabetes and hypertension. Methods : This cross-sectional study wa...
متن کاملSocio-demographic Determinants of Marital Satisfaction among an Iranian Population
Background: There is lack of Iranian studies on marital satisfaction which is one of the important factors in the stability of marriage. The present study aimed to evaluate the effects of socio-demographic variables on marital satisfaction. Methods: This Analytical and cross-sectional study was conducted on 770 married people from Gonabad city, Northeast of Iran. Simple random sampling was us...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017