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Preece, M A, & Baines, M J (1978) A new family of mathematical models describing the human growth curve Annals of Human Biology, 5(1), 1 24 Ramsey, J, & Sliverman, (1997) A functional approach to data analysis New York: Springer Rogosa, D (1978) Causal models in longitudinal research: Rationale, formulation, and interpretation In J R Nesselroade & P B Baltes (Eds), Longitudinal research in the study of behavior and development New York: Academic Press Rogosa, D, & Willett, J B (1985) Understanding correlates of change by modeling individual differences in growth Psychometrika, 50, 203 228 Rao, C R (1958) Some statistical methods for the comparison of growth curves Biometrics, 14, 1 17 Raykov, T (1999) Are simple change scores obsolete An approach to studying correlates and predictors of change Applied Psychology Measurement, 23(2), 120 126 Richards, F J (1959) A exible growth function for empirical use.

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which is the variance for a binomial distribution, and the response variable in logistic regression Y = (x) + is assumed to follow a binomial distribution with probability of success (x). A useful transformation for logistic regression is the logit transformation, as follows: (x) g(x) = ln = 0 + 1 x 1 (x) The logit transformation g(x) exhibits several attractive properties of the linear regression model, such as its linearity, its continuity, and its range from negative to positive in nity.

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Journal of Experimental Botany, 10, 290 300 Sandland, R L, & McGilchrist, C A (1979) Stochastic growth curve analysis Biometrics, 35, 255 271 Seber, G A F, & Wild, C J (1989) Nonlinear models New York: Wiley Scammon, R E (1927) The rst seriatim study of human growth American Journal of Physical Anthropology, 10, 329 336 Simonton, D K (1989) Age and creative productivity: Nonlinear estimation of an information processing model International Journal of Aging and Human Development, 29(1), 23 37 Singer, J D (1998) Using SAS PROC MIXED to t multilevel models, hierarchical models, and individual growth models Journal of Educational and Behavioral Statistics, 24(4), 323 355 Sliwinski, M, & Buschke, H (1999) Cross-sectional and longitudinal relationships among age, cognition, and processing speed Psychology and Aging, 14(1), 18 33 Smith, P L (1979) Splines as a useful and convenient tool The American Statistician, 32(2), 57 63.

Right-sided spinal cord lesion No neurotransmission in : Right pyramidal tract \ UMN signs right leg Right posterior column \ position and vibration sense loss right leg Right Left Right spinothalamic tract \ pain and temperature sense loss left leg Effect upon bladder variable, probably just intact

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Snijders, T A B, & Bosker, R (1994) Modeled variance in twolevel models Sociological Methods & Research, 22, 342 363 Stimson, J A, Carmines, E G, & Zeller, R A (1978) Interpreting polynomial regression Sociological Methods & Research, 6(4), 515 524 Sullivan, E V, Rosenbloom, M J, Lim, K O, & Pfefferman, A (2000) Longitudinal changes in cognition, gait, balance in.

Netherlands), Ronald van Eijk (Telematica Instituut, The Netherlands), Johan Hjelm (Ericsson AB, Sweden), Silke Holtmanns (Nokia, Finland), Theo Kanter (Ericsson AB, Sweden), Sian Lun Lau (University of Kassel, Germany), Miquel Martin (NEC, Germany), Bj rn Mel n (LM o e Ericsson, Finland), Markus Miettinen (Nokia, Finland), Rinaldo Nani (Neos, Italy), Petteri Nurmi (University of Helsinki, Finland), Mateusz Radziszewski (BLStream, Poland), Marcin Salacinski (BLStream, Poland), G ran Schultz (LM Ericsson, Finland), and Esa Turtiainen o (LM Ericsson, Finland).

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