scholarly journals Robust Logistic Modelling for Dataset with Unusual Points

2021 ◽  
Author(s):  
Kumru URGANCI TEKIN ◽  
Burcu MESTAV ◽  
Neslihan İYİT
Keyword(s):  
Logistic Modelling

Contribution to Global Warming Potential by waste producers: Identification by reverse logistic modelling

2019 ◽  
Vol 208 ◽  
pp. 1294-1303 ◽  
Author(s):  
Radovan Šomplák ◽  
Martin Pavlas ◽  
Vlastimír Nevrlý ◽  
Michal Touš ◽  
Pavel Popela
Keyword(s):  
Global Warming ◽  
Global Warming Potential ◽  
Reverse Logistic ◽  
Logistic Modelling

scholarly journals Protein intake per day and at each daily meal and skeletal muscle mass declines among older community dwellers in Japan

2019 ◽  
Vol 23 (6) ◽  
pp. 1090-1097 ◽  
Author(s):  
Rei Otsuka ◽  
Yuki Kato ◽  
Chikako Tange ◽  
Yukiko Nishita ◽  
Makiko Tomida ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Total Protein ◽  
Protein Intake ◽  
Skeletal Muscle Mass ◽  
Total Protein Intake ◽  
Dietary Records ◽  
Logistic Modelling ◽  
Community Dwellers

AbstractObjective:To examine associations between protein intake per day and at different meals and skeletal muscle mass declines.Design:Two-year prospective cohort study among older community dwellers.Setting:National Institute for Longevity Sciences–Longitudinal Study of Aging (NILS-LSA) in Japan.Participants:Older men (n 292) and women (n 363) aged 60–87 years who participated in the baseline (2006–2008) and follow-up studies (2008–2010) of NILS-LSA and did not exhibit low skeletal muscle mass at baseline. Muscle mass was assessed using dual-energy X-ray absorptiometry at baseline and follow-up. Low muscle mass was defined as skeletal muscle mass index <7·0 kg/m2 for men and <5·4 kg/m2 for women at follow-up. Daily protein intake and protein intake at each meal were calculated from 3 d dietary records at baseline and sex-stratified tertiles were determined.Results:Mean (sd) protein intake at breakfast, lunch and dinner was 22·7 (7·8), 26·7 (9·3) and 37·4 (10·5) g for men and 19·3 (6·3), 23·2 (7·3) and 28·5 (7·0) g for women, respectively. After adjusting for age, baseline skeletal muscle mass and other confounders in logistic modelling, greater total protein intake was associated with lower prevalence of skeletal muscle mass decline among men at follow-up (P = 0·024). Particularly, the OR (95 % CI) for high lunchtime protein intake was low (0·11 (0·02, 0·61); P = 0·01). No significant association between total protein intake and prevalence of skeletal muscle mass decline was found among women.Conclusions:High total protein intake, particularly at lunchtime, is associated with retention of skeletal muscle mass in men.

Logistic modelling of lateness distributions in inventory systems

2017 ◽  
Vol 11 (3) ◽  
pp. 343-355 ◽  
Author(s):  
Peter Nyhuis ◽  
Jonas Mayer
Keyword(s):  
Inventory Systems ◽  
Logistic Modelling

Factors influencing the duration of treatment with psychotropic drugs in general practice: a survival analysis approach

1983 ◽  
Vol 13 (3) ◽  
pp. 623-633 ◽  
Author(s):  
Paul Williams
Keyword(s):  
General Practice ◽  
Survival Analysis ◽  
Drug Use ◽  
Psychotropic Drug ◽  
Duration Of Treatment ◽  
Factors Influencing ◽  
Psychotropic Drug Use ◽  
Parsimonious Model ◽  
Logistic Modelling

SynopsisThere have been few previous attempts to study factors which affect the duration of treatment with psychiatric drugs in general practice. In the present study ‘duration of treatment’ was regarded as analogous to ‘survival time’, and techniques of survival analysis were applied to data from a previously published study of psychotropic drug use in general practice (Williams et al. 1982). Methods of logistic modelling were used in an attempt to construct a comprehensive and parsimonious model to describe and predict the duration of psychotropic use. Such a model was found to include the effects of previous psychotropic treatment, social problems, duration of treatment and general practitioner behaviour. The implications of the findings, vis à vis the prevention of unnecessary long-term psychotropic drug use, are discussed.

Logistic modelling of an autonomous diesel-wind power system of a Greek Island

2005 ◽  
Author(s):  
A.I. Androutson ◽  
M.P. Kourgitakos ◽  
A.V. Machias ◽  
M.P. Papadopoulos
Keyword(s):  
Power System ◽  
Wind Power ◽  
Wind Power System ◽  
Greek Island ◽  
Logistic Modelling

Stability and annual return rates in amphibian populations

2011 ◽  
Vol 32 (1) ◽  
pp. 119-124 ◽  
Author(s):  
Sebastiano Salvidio
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Population Growth Rate ◽  
External Perturbation ◽  
Return Rate ◽  
Demographic Stochasticity ◽  
Ecological Traits ◽  
Return Rates ◽  
Risk Of Extinction ◽  
Logistic Modelling

AbstractAmphibians are declining worldwide and different ecological traits, such as population growth rate and demographic stochasticity have been associated with their risk of extinction. However the population annual return rate, a parameter that gives information on the rapidity at which a population returns to equilibrium after an external perturbation, has never been analysed. In this study the annual return rates of 21 amphibian time series, belonging to 16 species, were estimated through non-linear (theta) logistic modelling. Annual return rates of salamanders (0.73) did not differ from those of frogs (0.79) and all return rate values were below the threshold for chaos. These results show that, in general, amphibian populations are regulated and do not differ in their dynamics from other vertebrate taxa.

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