Tics and Heredity

1987 ◽  
Vol 150 (5) ◽  
pp. 628-634 ◽  
Author(s):  
D. M. Zausmer ◽  
M. E. Dewey
Keyword(s):  
Statistical Analysis ◽  
Linear Models ◽  
Statistical Analyses ◽  
Tourette's Syndrome ◽  
Reasonable Doubt ◽  
Tourette’S Syndrome ◽  
Genetic Transmission ◽  
Explanatory Variables ◽  
Simple Mode ◽  
Log Linear

The limited literature on the pedigrees of tiqueurs, including those with Gilles de la Tourette's syndrome, is reviewed. Most statistical analyses have been restricted to affected family members without specifying the unaffected ones. The present statistical analysis of a series of child tiqueurs, including 91 probands and 1293 first- and second-degree relatives, 46 of whom were tiqueurs, predicts the odds on being a tiqueur for individuals, and establishes how those odds are affected by certain explanatory variables using log-linear models. The data do not confirm a familial pattern beyond reasonable doubt, but if the suggested prevalence of tics in the population is 10% then the figure for parents is large enough to support a familial hypothesis. The pedigrees do not indicate a simple mode of genetic transmission. Further research is needed to confirm that there is a connection between childhood tics and Gilles de la Tourette's syndrome, to establish that the predisposition to tics is familial, and, if so, whether there is a complex genetic mechanism involved, or some other environmental aetiology so far undisclosed.

scholarly journals Market model analysis and forecasting behavior of watermelon production in Bangladesh

2014 ◽  
Vol 26 (1-2) ◽  
pp. 47-56
Author(s):  
Murshida Khanam ◽  
Umme Hafsa
Keyword(s):  
Time Series ◽  
Statistical Analysis ◽  
Linear Models ◽  
Time Series Data ◽  
Arima Model ◽  
Model Analysis ◽  
Market Model ◽  
Series Data ◽  
Log Linear

An attempt has been made to study various models regarding watermelon production in Bangladesh and to identify the best model that may be used for forecasting purposes. Here, supply, log linear, ARIMA, MARMA models have been used to do a statistical analysis and forecasting behavior of production of watermelon in Bangladesh by using time series data covering whole Bangladesh. It has been found that, between the supply and log linear models; log linear is the best model. Comparing ARIMA and MARMA models it has been concluded that ARIMA model is the best for forecasting purposes. DOI: http://dx.doi.org/10.3329/bjsr.v26i1-2.20230 Bangladesh J. Sci. Res. 26(1-2): 47-56, December-2013

Changes in the distribution of Poplar Box (Eucalyptus populnea) on major soil groups: An application of the log-linear model.

1981 ◽  
Vol 3 (1) ◽  
pp. 33 ◽  
Author(s):  
RB Cunningham ◽  
AA Webb ◽  
A Mortlock
Keyword(s):  
Statistical Analysis ◽  
Linear Model ◽  
Generalized Linear Models ◽  
Gradient Analysis ◽  
Linear Models ◽  
Geographic Location ◽  
Significance Tests ◽  
Log Linear ◽  
Eucalyptus Populnea ◽  
Soil Groups

The association of poplar box (Eucalyptus populnea) with five main soil groups is examined. A statistical analysis, using a log- linear model, indicated that the relative frequencies of poplar box sites occumng on major soil groups changed with geographic location. The change in distribution is shown to relate to climate, as indicated by summer and winter moisture indices and the diff- erence between them. This study illustrates the use of log-linear models in ecology; such models, and more generally, Generalized Linear Models, in providing significance tests, have advantages over the non-statistical methods of gradient analysis.

Innovations in the Statistical Analysis of Twin Studies

1987 ◽  
Vol 36 (1) ◽  
pp. 21-27 ◽  
Author(s):  
J.L. Hopper ◽  
P.L. Derrick ◽  
C.A. Clifford
Keyword(s):  
Statistical Analysis ◽  
Twin Studies ◽  
Pedigree Analysis ◽  
Critical Examination ◽  
Multivariate Normal ◽  
Pedigree Data ◽  
Explanatory Variables ◽  
Information Status ◽  
Log Linear ◽  
Multivariate Normal Model

AbstractAdvances in computer technology have made possible a greater sophistication in the statistical analysis of pedigree data, however this is not necessarily manifest by fitting more comprehensive causative models. Planned twin and family studies measure numerous explanatory variables, including perhaps genetic and DNA marker information status on all pedigree members, and the cohabitation of all pairs of individuals. A statistical analysis should examine the contribution of these measured factors on individual means, and in explaining the variation and covariation between individuals, concurrently with the postulated effect of unmeasured factors such as polygenes. We present two models that meet this requirement: the Multivariate Normal Model for Pedigree Analysis for quantitative traits, and a Log-Linear Model for Binary Pedigree Data. For both models, important issues are examination of fit, detection of outlier pedigrees and outlier individuals, and critical examination of the model assumptions. Procedures for fulfilling these needs and examples of modelling are discussed.

scholarly journals Analyses of length and age distributions using continuation-ratio logits

2001 ◽  
Vol 58 (6) ◽  
pp. 1141-1152 ◽  
Author(s):  
Anna Rindorf ◽  
Peter Lewy
Keyword(s):  
Statistical Analysis ◽  
Linear Models ◽  
Statistical Analyses ◽  
Statistical Testing ◽  
Discrete Variables ◽  
Analysis Software ◽  
Generalised Linear Models ◽  
Continuation Ratio ◽  
Continuous And Discrete Variables ◽  
Statistical Analysis Software

Sampling of length and age distributions of catches is important for the assessment of commercially fished stocks. This paper presents a new method for statistical analyses and comparisons of length and age distributions based on generalised linear models of continuation-ratio logits. The method allows statistical testing of the effects of both continuous and discrete variables. Further, by utilising the smoothness of length and age distributions as a function of length, the method provides more accurate estimates of these distributions than traditional methods. The observations are assumed to be multinomially distributed, but cases in which the variance exceeds that of this distribution may also be analysed. The implementation of the method in existing statistical analysis software is straightforward and is demonstrated using length and age distributions of the lesser sandeel, Ammodytes marinus Raitt.

Latency models: the statistical analysis of response times

1982 ◽  
Vol 12 (3) ◽  
pp. 659-665 ◽  
Author(s):  
Graham Dunn ◽  
Din Master
Keyword(s):  
Statistical Analysis ◽  
Statistical Methods ◽  
Linear Models ◽  
Response Times ◽  
Descriptive Statistics ◽  
Failure Times ◽  
Log Linear

SYNOPSISThis paper introduces statistical methods suitable for the analysis of response, survival or failure times and, in particular, latencies measured in experiments on the speed of recall of memories. The discussion includes the use of simple descriptive statistics, as well as an explanation of the role of linear-logistic and log-linear models.

scholarly journals The comparison of Lithuanian texts’ styles by using the statistical analysis of the universal quantitative characteristics

2010 ◽  
Vol 51 ◽  
Author(s):  
Karolina Piaseckienė ◽  
Marijus Radavičius ◽  
Raimundas Stiklius
Keyword(s):  
Statistical Analysis ◽  
Linear Models ◽  
Automatic Processing ◽  
Efficient Algorithms ◽  
Mathematical Statistics ◽  
Quantitative Characteristics ◽  
Language Styles ◽  
Text Content ◽  
Log Linear

Lithuanian language is quite complex and flexible, and its significantly complicates the development of efficient algorithms for the automatic processing of Lithuanian texts. For studying text-styles features were selected the universal quantitative characteristics that are unrelated to the text content and can be calculated for any text. This article shows how mathematical Statistics can help to distinguish and interpret the Lithuanian language styles. Studies of the log-linear models show theconnection between the letters and sounds structure and the scientific and fiction.

scholarly journals Meteorological conditions and incidence of Legionnaires' disease in Glasgow, Scotland: application of statistical modelling

2012 ◽  
Vol 141 (4) ◽  
pp. 687-696 ◽  
Author(s):  
C. E. DUNN ◽  
B. ROWLINGSON ◽  
R. S. BHOPAL ◽  
P. DIGGLE
Keyword(s):  
Seasonal Variation ◽  
Wind Speed ◽  
Air Temperature ◽  
Linear Models ◽  
Meteorological Data ◽  
Statistical Modelling ◽  
Linear Regression Models ◽  
Explanatory Variables ◽  
Legionnaires Disease ◽  
Log Linear

SUMMARYThis study investigated the relationships between Legionnaires' disease (LD) incidence and weather in Glasgow, UK, by using advanced statistical methods. Using daily meteorological data and 78 LD cases with known exact date of onset, we fitted a series of Poisson log-linear regression models with explanatory variables for air temperature, relative humidity, wind speed and year, and sine-cosine terms for within-year seasonal variation. Our initial model showed an association between LD incidence and 2-day lagged humidity (positive, P = 0·0236) and wind speed (negative, P = 0·033). However, after adjusting for year-by-year and seasonal variation in cases there were no significant associations with weather. We also used normal linear models to assess the importance of short-term, unseasonable weather values. The most significant association was between LD incidence and air temperature residual lagged by 1 day prior to onset (P = 0·0014). The contextual role of unseasonably high air temperatures is worthy of further investigation. Our methods and results have further advanced understanding of the role which weather plays in risk of LD infection.

Review of A Mind of Its Own: Tourette's Syndrome: A Story and Guide.

1996 ◽  
Vol 41 (1) ◽  
pp. 81-81
Author(s):  
Terri Gullickson ◽  
Pamela Ramser
Keyword(s):  
Tourette's Syndrome ◽  
Tourette’S Syndrome
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