A comparison of ordinal logistic regression models using Classical and Bayesian approaches in an analysis of factors associated with diabetic retinopathy

2016 ◽  
Vol 43 (12) ◽  
pp. 2254-2260 ◽  
Author(s):  
K. Vaitheeswaran ◽  
M. Subbiah ◽  
R. Ramakrishnan ◽  
T. Kannan
Keyword(s):  
Logistic Regression ◽  
Diabetic Retinopathy ◽  
Regression Models ◽  
Ordinal Logistic Regression ◽  
Bayesian Approaches ◽  
Logistic Regression Models ◽  
Factors Associated

FERTILITY DESIRES OF YORUBA COUPLES OF SOUTH-WESTERN NIGERIA

2005 ◽  
Vol 38 (5) ◽  
pp. 605-624 ◽  
Author(s):  
KOLAWOLE AZEEZ OYEDIRAN
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Socioeconomic Background ◽  
Background Characteristics ◽  
Fertility Intention ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Fertility Desires ◽  
Fertility Reduction ◽  
Living Children

Using the matched wife–husband (763) sample from the data collected from Ogbomoso and Iseyin towns in Oyo State, Nigeria, this paper examines factors associated with couples’ fertility intention. The analysis used logistic regression models for predicting the effects of selected socioeconomic background characteristics on a couple’s fertility intention. Results indicate high levels of concurrence among husbands and wives on fertility intention. Where differences exist, husbands are more pronatalists than their wives. About 87% of pairs of partners reported similar fertility preferences. Of these couples, 59·5% wanted more children while only 27·8% reported otherwise. The logistic regression models indicated that a couple’s fertility intention was associated with age, education, place of residence, frequency of television-watching and number of living children. Therefore, programme interventions aimed at promoting fertility reduction in Nigeria should convey fertility regulation messages to both husbands and wives.

Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

2019 ◽  
Vol 100 (2) ◽  
pp. 151-172
Author(s):  
Eileen M. Ahlin
Keyword(s):  
Risk Factors ◽  
Gender Differences ◽  
Logistic Regression ◽  
National Survey ◽  
Regression Models ◽  
Sexual Victimization ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

scholarly journals Risk factors associated with stillbirth of piglets born from oxytocin-assisted parturitions

2020 ◽  
Vol 13 (10) ◽  
pp. 2172-2177
Author(s):  
Nguyen Hoai Nam ◽  
Peerapol Sukon
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Models ◽  
Significant Risk ◽  
Gestation Length ◽  
Stillbirth Rate ◽  
Multivariate Logistic Regression ◽  
Crown Rump Length ◽  
Logistic Regression Models ◽  
Factors Associated

Aim: The present study aimed to investigate the effects of different risk factors on stillbirth of piglets born from oxytocin-assisted parturitions. Materials and Methods: Data were collected from a total of 1121 piglets born from 74 Landrace x Yorkshire crossbred sows from a herd. Logistic regression models were used to determine the associations between stillbirth and different risk factors including parity (1, 2, 3-5, and 6-10), gestation length (GL) (112-113, 114-116, and 117-119 days), litter size, birth order (BO), sex, birth interval (BI), cumulative farrowing duration, birth weight (BW), crown rump length, BW deviation, body mass index, ponderal index (PI), and the use of oxytocin during expulsive stage of farrowing. Results: The incidence of stillbirth at litter level and stillbirth rate was 59.5% (44/74) and 8.1% (89/1094), respectively. The final multivariate logistic regression selected BO, BI, PI, GL, and parity as the five most significant risk factors for stillbirth. Increased BO and BI, GL <114 and >116 days, parity 6-10, and low PI increased the stillbirth rate in piglets. Conclusion: Several factors previously determined as risks for stillbirth in exogenous oxytocin-free parturitions also existed in exogenous oxytocin-assisted parturitions. One dose of oxytocin at fairly high BO did not increase stillbirth, whereas two doses of oxytocin were potentially associated with increased values.

What Do Québec Children Eat During Their First Six Months?

2004 ◽  
Vol 65 (3) ◽  
pp. 106-113 ◽  
Author(s):  
Marie-Claire Lepage ◽  
Jocelyne Moisan ◽  
Michel Gaudet
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Family Income ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Mineral Supplements ◽  
Factors Associated ◽  
Birth Factors ◽  
Primiparous Women ◽  
Breast Fed

Study objectives were to describe the introduction of foods and beverages and the use of vitamin and/or mineral supplements among infants aged six months, and to identify factors associated with following Québec recommendations on introducing foods and beverages. Study subjects were primiparous women interviewed by phone when their infants were approximately six months old. Data were gathered on foods and beverages offered to infants, the age at which these were introduced, and supplements. The use of each food, beverage, and supplement was evaluated according to recommendations. Mean age at which foods were introduced and proportions of women who followed recommendations were calculated. Multivariate logistic regression models were used to identify the factors associated with following recommendations. Results indicated that among the 1,937 interviewed mothers, 212 (10.9%) exclusively breast-fed their infants before age four months, 1,073 (55.4%) breast-fed their infants at birth but gave them formula or foods before age four months, and 652 (33.7%) formula-fed their infants at birth. Factors associated with adherence to recommendations were breast-feeding exclusively, being older than 30 years, an annual family income of at least $60,000, and being a non-smoker. Few mothers followed all the recommendations.

Increased blood pressure variability after endovascular thrombectomy for acute stroke is associated with worse clinical outcome

2018 ◽  
Vol 10 (9) ◽  
pp. 823-827 ◽  
Author(s):  
Alicia E Bennett ◽  
Michael J Wilder ◽  
J Scott McNally ◽  
Jana J Wold ◽  
Gregory J Stoddard ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Blood Pressure Variability ◽  
Regression Models ◽  
Ordinal Logistic Regression ◽  
Logistic Regression Models ◽  
Intravenous Tissue Plasminogen Activator ◽  
Point Increase ◽  
Tissue Plasminogen

Background and purposeBlood pressure variability has been found to contribute to worse outcomes after intravenous tissue plasminogen activator, but the association has not been established after intra-arterial therapies.MethodsWe retrospectively reviewed patients with an ischemic stroke treated with intra-arterial therapies from 2005 to 2015. Blood pressure variability was measured as standard deviation (SD), coefficient of variation (CV), and successive variation (SV). Ordinal logistic regression models were fitted to the outcome of the modified Rankin Scale (mRS) with univariable predictors of systolic blood pressure variability. Multivariable ordinal logistic regression models were fitted to the outcome of mRS with covariates that showed independent predictive ability (P<0.1).ResultsThere were 182 patients of mean age 63.2 years and 51.7% were female. The median admission National Institutes of Health Stroke Scalescore was 16 and 47.3% were treated with intravenous tissue plasminogen activator. In a univariable ordinal logistic regression analysis, systolic SD, CV, and SV were all significantly associated with a 1-point increase in the follow-up mRS (OR 2.30–4.38, all P<0.002). After adjusting for potential confounders, systolic SV was the best predictor of a 1-point increase in mRS at follow-up (OR 2.63–3.23, all P<0.007).ConclusionsIncreased blood pressure variability as measured by the SD, CV, and SV consistently predict worse neurologic outcomes as measured by follow-up mRS in patients with ischemic stroke treated with intra-arterial therapies. The SV is the strongest and most consistent predictor of worse outcomes at all time intervals.

scholarly journals Factors associated with the serological prevalence of Salmonella enterica in Greek finishing swineherds

2003 ◽  
Vol 131 (1) ◽  
pp. 599-606 ◽  
Author(s):  
L. S. LEONTIDES ◽  
E. GRAFANAKIS ◽  
C. GENIGEORGIS
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Salmonella Enterica ◽  
Regression Models ◽  
Finishing Pigs ◽  
Blood Samples ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Procaine Penicillin

Blood samples were taken from 50 finishing pigs at 90–105 kg in each of 59 randomly selected farrow-to-finish herds. The sera were tested for antibodies to Salmonella enterica by the Danish mix-ELISA. Samples with an optical density of >10% were considered to be positive. Associations between the odds of seropositivity of pigs and possible risk factors were evaluated in multivariable logistic regression models. The results of the analysis indicated that pigs fed non-pelleted dry or wet ration had 11 (P=0·0004) or 9 (P=0·02) times, respectively, lower odds of seropositivity than those fed pelleted ration. The risk of seropositivity was 4 (P=0·0006) times higher in pigs fed a combination of chlortetracycline, procaine penicillin and sulphamethazine during fattening than in those fed an approved growth promotor or a probiotic.

scholarly journals Ordinal logistic regression models: application in quality of life studies

2008 ◽  
Vol 24 (suppl 4) ◽  
pp. s581-s591 ◽  
Author(s):  
Mery Natali Silva Abreu ◽  
Arminda Lucia Siqueira ◽  
Clareci Silva Cardoso ◽  
Waleska Teixeira Caiaffa
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Models ◽  
Goodness Of Fit ◽  
Ordinal Logistic Regression ◽  
Proportional Odds Model ◽  
Outcome Variable ◽  
Proportional Odds ◽  
Logistic Regression Models

Quality of life has been increasingly emphasized in public health research in recent years. Typically, the results of quality of life are measured by means of ordinal scales. In these situations, specific statistical methods are necessary because procedures such as either dichotomization or misinformation on the distribution of the outcome variable may complicate the inferential process. Ordinal logistic regression models are appropriate in many of these situations. This article presents a review of the proportional odds model, partial proportional odds model, continuation ratio model, and stereotype model. The fit, statistical inference, and comparisons between models are illustrated with data from a study on quality of life in 273 patients with schizophrenia. All tested models showed good fit, but the proportional odds or partial proportional odds models proved to be the best choice due to the nature of the data and ease of interpretation of the results. Ordinal logistic models perform differently depending on categorization of outcome, adequacy in relation to assumptions, goodness-of-fit, and parsimony.

Sign in / Sign up

Export Citation Format

Share Document